Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Builds production-grade LLM agents and classical ML models for bank collateral evaluation, integrating retrieval, agentic workflows, and risk controls in a regulated finance setting.
Senior engineer on Fujitsu's MVP team turning Fujitsu LAB research into production-grade AI/ML products (computer vision, LLMs, RAG, agents), with full-stack work in React/TypeScript and Python/C++, plus cloud infra on AWS, Docker/Kubernetes, and CI/CD. Onsite in Bangalore.
Senior ML engineer on Apple's Cloud AI platform team in Seattle, building managed serverless AI infrastructure that spans the full ML lifecycle — data/feature engineering, embeddings and retrieval, model training, and inference optimization and routing. Day to day is production platform work at the intersection of ML, distributed systems, and Python/Rust/Java engineering.
Sphere Partners is hiring a remote AI/LLM Systems Engineer to lead AI-first product development for clients, covering LLM application architecture, RAG pipelines, multi-agent workflows, and production inference optimization (batching, quantization, benchmarking with vLLM/TensorRT-LLM/Triton). Contract/staff-augmentation engagement, fully remote from anywhere.
Senior software engineer on Cisco IT's internal Foundational Model Service: serving small, large, and embedding models on Kubernetes with vLLM, NVIDIA NIM, and similar runtimes. Day to day involves runtime tuning, GPU/accelerator optimization, model evaluation and release gating, platform APIs and tooling, and on-call reliability. Core stack: Python/Go, Kubernetes, IaC, Prometheus/Grafana.
Designs and deploys AI agents in Python to automate workflows and decisions, integrating with internal systems and third-party models while measuring business impact in a fast-paced trading environment.
Inferact, founded by vLLM's creators, seeks a Member of Technical Staff for Vulnerability Management to own vLLM's vulnerability-management process: triaging reports, reproducing issues, analyzing root causes, and coordinating fixes and security advisories with maintainers and researchers. Hands-on product security role in San Francisco ($200k-$400k + equity), open-source focused.
Own the real-time speech translation backend for LILT's new live translation product end-to-end: a low-latency Python streaming pipeline integrating ASR and machine translation models, served on GPU Kubernetes clusters via Ray Serve, with confidence-based human routing, autoscaling, and latency optimization.
As a Forward Deployed Engineer at Inferact, you work hands-on inside customer environments to deploy, integrate, debug, and optimize vLLM-powered AI inference systems across cloud, Kubernetes, GPU, and networking stacks, then turn field learnings into reusable product capabilities.
AI Engineer in Matosinhos, Porto who designs and builds production AI/LLM systems from scratch: sovereign data architecture and pipelines, knowledge graphs/embeddings/RAG, and multi-step agent architectures. Requires 3+ years experience (2 in AI/ML production), a backend language like Python/Go/Rust, and Portuguese.
At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work. We strive to make a…
Hands-on senior role owning ML models and AI agent behavior end to end — problem framing, fine-tuning, retrieval design, agentic orchestration, evaluation, and production serving. Core stack: PyTorch, Hugging Face, LangChain/LangGraph, expert Python/SQL, and cloud AI deployment on AWS/Azure/GCP.
About the Role At Nscale, we’re on a mission to build the engine of superintelligence, and the open AI ecosystem is central to how that future gets built. We’re looking for an Ecosystem Marketing Manager to build and…
Staff-level AI engineer setting technical direction for Nscale's GenAI cloud inference platform — dedicated/serverless inference, bring-your-own-model deployments, and post-training services. Deep specialization expected in areas like KV cache/performance, GPU kernels (CUDA/Triton), evals, RL for LLMs, or serving engines (vLLM/SGLang), built on Python, PyTorch, and Kubernetes GPU clusters.
Build the platforms that make advanced AI practical at scale. In this role, you’ll shape standards, tooling, and reliable inference foundations that help engineering teams move faster with confidence. You’ll work…
We are hiring talent like you! As a Senior Cloud Engineer you will lead and collaborate with engineering and development teams to evaluate, architect, and identify optimal cloud solutions. You will be responsible for…
Build and maintain the machine-learning infrastructure that trains and deploys AI models for medical imaging, including distributed training, data pipelines, and production serving.
Cyclife Digital Solutions (www.cyclife-ds.com), filiale de Cyclife (groupe EDF), est spécialisée dans les technologies numériques, la transformation digitale et l'amélioration de la performance des organisations.…
Recruiter M&T Resources is hiring an AI Cloud Engineer for a Federal Government client in Melbourne. The role builds and operates AI/ML platforms and workloads on Kubernetes and AWS/Azure, using Python, Terraform, GitOps/ArgoCD and secure-by-design DevSecOps practices to deliver services for Australians.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
